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Finite Element Model Updating Using Computational Intelligence Techniques
  • Language: en
  • Pages: 250

Finite Element Model Updating Using Computational Intelligence Techniques

FEM updating allows FEMs to be tuned better to reflect measured data. It can be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. This book applies both strategies to the field of structural mechanics, using vibration data. Computational intelligence techniques including: multi-layer perceptron neural networks; particle swarm and GA-based optimization methods; simulated annealing; response surface methods; and expectation maximization algorithms, are proposed to facilitate the updating process. Based on these methods, the most appropriate updated FEM is selected, a problem that traditional FEM updating has not addressed. This is found to incorporate engineering judgment into finite elements through the formulations of prior distributions. Case studies, demonstrating the principles test the viability of the approaches, and. by critically analysing the state of the art in FEM updating, this book identifies new research directions.

Militarized Conflict Modeling Using Computational Intelligence
  • Language: en
  • Pages: 254

Militarized Conflict Modeling Using Computational Intelligence

Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game theory. The inherent limitation of game theory when dealing with more than three players in a game is the main motivation for the application of computational intelligence in modeling conflict. Militarized interstate disputes (MIDs) are defined as a set of interactions between, or among, states that can result in the display, threat or actual use of military force in an explicit way. These interactions can result in either peace or conflict. This book models the relationship between key variables a...

Causality, Correlation and Artificial Intelligence for Rational Decision Making
  • Language: en
  • Pages: 208

Causality, Correlation and Artificial Intelligence for Rational Decision Making

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and H...

Condition Monitoring Using Computational Intelligence Methods
  • Language: en
  • Pages: 236

Condition Monitoring Using Computational Intelligence Methods

Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.

Economic Modeling Using Artificial Intelligence Methods
  • Language: en
  • Pages: 261

Economic Modeling Using Artificial Intelligence Methods

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer p...

Artificial Intelligence Techniques for Rational Decision Making
  • Language: en
  • Pages: 168

Artificial Intelligence Techniques for Rational Decision Making

  • Type: Book
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  • Published: 2014-10-20
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  • Publisher: Springer

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the co...

Artificial Intelligence and Economic Theory: Skynet in the Market
  • Language: en
  • Pages: 204

Artificial Intelligence and Economic Theory: Skynet in the Market

  • Type: Book
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  • Published: 2017-09-18
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  • Publisher: Springer

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial ...

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques
  • Language: en
  • Pages: 326

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques

  • Type: Book
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  • Published: 2009-04-30
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  • Publisher: IGI Global

"This book is for those who use data analysis to build decision support systems, particularly engineers, scientists and statisticians"--Provided by publisher.

Probabilistic Finite Element Model Updating Using Bayesian Statistics
  • Language: en
  • Pages: 248

Probabilistic Finite Element Model Updating Using Bayesian Statistics

  • Type: Book
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  • Published: 2016-11-30
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  • Publisher: Wiley

Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering. The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic fini...

Handbook Of Machine Learning - Volume 1: Foundation Of Artif
  • Language: en

Handbook Of Machine Learning - Volume 1: Foundation Of Artif

  • Type: Book
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  • Published: 2018-12-22
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  • Publisher: Unknown

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